Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

Abstract: The slowly varying drift poses a major problem in the analysis of functional magnetic resonance imaging (fMRI) data. In this paper, based on the observation that noise in fMRI is long memory ...

Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful reasoning ...

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

The mcglm package brings to python language one of the most powerful extensions to GLMs(Nelder, Wedderburn; 1972), the Multivariate Covariance Generalized Linear Models(Bonat, Jørgensen; 2016). The ...

Ordinal regression is utilised when data contains an ordinal variable with categorical values that have a defined order. It serves as an intermediary method between regression and classification ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...